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CT MRI Brain

Precise vs. Approximate Numeracy in Stroke

Precise vs. Approximate Numeracy in Stroke Participants

Normalized structural brain scans and manual lesion masks of chronic left hemisphere stroke survivors, with numeracy, aphasia and education scores, shared for lesion-symptom mapping of precise and approximate number skills and their link to language.

Overview

This OpenNeuro release accompanies two lesion-symptom mapping studies from the Fiez lab at the University of Pittsburgh. The question behind it is how damage to the left hemisphere affects two kinds of number skill: approximate numeracy (judging which of two dot arrays is larger) and precise numeracy (reading, writing and calculating exact numbers), and how each relates to language and aphasia. Participants are chronic stroke survivors recruited through the Western Pennsylvania Patient Registry. The release shares spatially normalized brain images and hand-drawn lesion masks together with per-person test scores, so the images can be used for lesion segmentation work and the scores for lesion-behavior regression.

Composition

Snapshot 2.1.0 contains 105 participants; the Cortex paper analysed 104 and the second version added one more. Each participant has one skull-stripped brain volume normalized to the ICBM152 template, one binary lesion mask in that space and one copy of the mask smoothed with a 4 mm Gaussian kernel. The participants file records image source (research MRI, clinical MRI or clinical CT), age, years of education, the Western Aphasia Battery aphasia quotient, left hemisphere lesion volume, z-scores for approximate and precise numeracy, and factor scores from two factor analyses. In the paper cohort, 59 participants are male and 45 female, with a mean age of about 62 years.

Acquisition

Research-grade MRI exists for 80 people in the paper cohort: 32 were scanned on a Siemens 3T Allegra and 48 on a Siemens 3T Prisma, both with a 1 mm T1 MPRAGE. For the other 24, scans were taken from medical records because research imaging was delayed by the COVID-19 pandemic or was contraindicated. In the release, 21 of these are clinical MRI and 3 are clinical CT. Images were normalized with enantiomorphic registration in MATLAB.

Annotations

Lesions were traced by hand in ITK-SNAP on the research T1-weighted image where available and on the clinical scan otherwise. A neurologist and a second rater, blind to behavior, checked every mask.

Known limitations

Only normalized, skull-stripped images are shared, not raw scans or the FLAIR and T2 images of the research protocol, and the files of clinical cases carry the T1w label whatever their original contrast or modality. The README notes weaker skull stripping for some clinical images. Sex is not included in the participants file. All lesions are left hemispheric and chronic.

Cohort

Aggregate numbers from the sources below. Bars are relative to the 105 subjects.

Age

mean 61.6 ± 12.1, range 25 to 82

0
10
20
30
34
20-2930-3940-4950-5960-6970-7980-89

age in participants.tsv of OpenNeuro ds006533 snapshot 2.1.0 (CC0), columns participant_id, image_modality and age; Table 1 in Duricy et al. 2025, Lesion-symptom mapping reveals differential relationships between language and precise versus approximate numeracy, Cortex 193

Contrast / sequence

Groups can overlap

  • T1-weighted 81 77%

image_modality in participants.tsv of OpenNeuro ds006533 snapshot 2.1.0 (CC0), columns participant_id, image_modality and age

License and access

Our reading of the license, not legal advice. Before you use the data, read the original license and confirm that your use is allowed. We take no responsibility for how you use a dataset. Full disclaimer

Access
Open download

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Access page

Creative Commons Zero 1.0 Universal

Public domain dedication. Do anything with the data, including commercial use, without asking and without having to give credit.

dataset_description.json of the OpenNeuro snapshot states "License" CC0.

Original license text Version read: 1.0 Checked 2026-10-07

What you can do

  • Yes
  • Yes
  • Yes
  • Yes
  • Yes

What you can share

  • Yes
  • Yes
  • Yes

What you must do

  • No
  • Share alike No
  • No
  • No
  • Manuscript review No
  • Release code No
  • Return results No
  • Delete after use No

Limits

  • No
  • Location limits No

Citation

Duricy E, Durisko C, Fiez JA. Lesion-symptom mapping reveals differential relationships between language and precise versus approximate numeracy. Cortex 193, 117-133 (2025). doi:10.1016/j.cortex.2025.10.008. And: Duricy E, Durisko C, Fiez JA. Using data-driven, lesion-symptom mapping to study the relationship between neural and theoretical components of numeracy. Neuropsychologia (2026). doi:10.1016/j.neuropsychologia.2026.109609.

Sources

Every number on this page comes from one of these documents. Each chart names the table or page it is taken from. The raw numbers are in stats.csv.